Chung-Ang University Gwangmyeong Hospital and Omelet Join Hands on Medical AI: "From Nurse Scheduling to a Hospital Operations OS"

(From left) Jinkyoo Park, CEO of Omelet, and Don-kyu Kim, Vice President of Chung-Ang University Gwangmyeong Hospital
▲ (From left) Jinkyoo Park, CEO of Omelet, and Don-kyu Kim, Vice President of Chung-Ang University Gwangmyeong Hospital

Chung-Ang University Gwangmyeong Hospital (Yong-hoon Jung, President) and Omelet (Jinkyoo Park, CEO), a provider of AI optimization solutions for industry, have joined forces to drive digital transformation in healthcare.

On September 21, the two organizations signed a memorandum of understanding (MOU) at Chung-Ang University Gwangmyeong Hospital for the joint research and commercialization of medical AI solutions that improve the efficiency of nursing work and optimize hospital operations, launching a strategic partnership for healthcare operations optimization.

The agreement goes beyond introducing a new system. It is drawing attention as a model of shared growth, in which a hospital and a startup solve difficult problems in the field through joint research and bring the results to market.

Nurse schedules that took days, optimized by AI in seconds

The first step of this collaboration is a nurse scheduling AI agent. It takes on one of the heaviest administrative burdens in nursing: building the duty roster. A nurse schedule must account for a vast number of variables, including staffing by skill level, legally required rest periods, and each nurse's leave preferences. Head nurses have had to spend several sleepless nights every month to complete it.

Omelet solves this problem by combining its combinatorial optimization technology with generative AI. Omelet's AI engine mathematically evaluates tens of thousands of possible combinations and, in a short time, produces a fair schedule that fully complies with the hospital's operating rules while reflecting nurses' preferences as much as possible.

"Scheduling is only the beginning": expanding to a Hospital Decision OS

The two organizations are looking beyond nurse scheduling. Starting with this agreement, they plan to expand their collaboration toward a Hospital Decision OS that removes inefficiencies across hospital operations, including optimizing logistics routes within the hospital and optimizing the inventory of medicines and medical supplies.

"Workforce scheduling optimization is a core technology that can transform operational efficiency and job satisfaction not only in healthcare but across industries such as logistics, manufacturing, and services," said Jinkyoo Park, CEO of Omelet. "Omelet's AI will show its true value in healthcare, where the variables are more complex and the decisions more demanding than in any other industry." Park added, "By solving complex problems that are hard for people to solve, we will help medical staff focus on what matters most, caring for patients, and contribute to a better quality of life for everyone working in industries that face workforce challenges."